Human Shape-Motion Analysis In Athletics Videos for Coarse To Fine Action/Activity Recognition Using Transferable Belief Model

We present an automatic human shape-motion analysis method based on a fusion architecture for human action and activity recognition in athletic videos. Robust shape and motion features are extracted from human detection and tracking. The features are combined within the Transferable Belief Model (TB...

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Bibliographic Details
Main Authors: Emmanuel Ramasso, Costas Panagiotakis, Michèle Rombaut, Denis Pellerin, Georgios Tziritas
Format: Article
Language:English
Published: Computer Vision Center Press 2009-02-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Online Access:https://elcvia.cvc.uab.es/article/view/163